Flood hazard monitoring and modeling systems for improving climate risk management using machine learning and geospatial models in the Hennops River catchment, Centurion, South Africa

Flood hazard monitoring and modeling systems for improving climate risk management using machine learning and geospatial models in the Hennops River catchment, Centurion, South Africa

Abstract Climate change has adversely affected precipitation patterns, leading to increased flooding. However, in most African countries, conventional methods of flood hazard monitoring have hindered risk-reduction measures due to operational challenges, technological constraints, and data gaps. To...

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Bibliographic Details
Main Authors: Paidamwoyo Mhangara, Eskinder Gidey, Matilda Mbazo
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Sustainability
Subjects:
Topographic wetness index
Random forest
Support vector machine
Normalized difference water index
Flood hazard
Hennops River catchment
Online Access:https://doi.org/10.1007/s43621-024-00735-z
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https://doi.org/10.1007/s43621-024-00735-z

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